| Summary: | Automatic image enhancement refers to the process of improving the quality of the visual content of an image without user interaction. There has been considerable research done in the area of image enhancement normally as a preprocessing step for computer vision applications. Throughout the literature, objective image quality metrics have been defined and image enhancements have been made to satisfy the quality metric. Quality metrics typically are based upon the signal to noise ratio, focus measurements, or strength of edges within the image content. Subjective human input is rarely considered in image enhancement applications. This thesis investigates the concept of automatic image enhancement. In this thesis, an automatic subjective image enhancement system based on the regional content of the image is proposed.
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